{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# coding:utf-8\n",
    "import traceback\n",
    "from PIL import Image, ImageDraw, ImageFont\n",
    "\n",
    "font = ImageFont.truetype(\"/Library/Fonts/Courier New.ttf\", 40, encoding=\"unic\")  # 设置字体\n",
    "\n",
    "\n",
    "def append_pointer_to_image(img, x, y, color=(0,0,0)):\n",
    "    draw = ImageDraw.Draw(img)\n",
    "    # 画x轴线\n",
    "#     draw.line((x, 0, x, img.size[1]), fill=(128, 128, 128))\n",
    "    # 画y轴线\n",
    "#     draw.line((0, y, img.size[0], y), fill=(128, 128, 128))\n",
    "    # 画点\n",
    "    draw.ellipse((x - 1, y - 1, x + 1, y + 1), fill=color)\n",
    "    # 写坐标\n",
    "#     draw.text((x - 150, y + 20), u'({x}, {y})'.format(x=x, y=y), (0, 0, 255), font)\n",
    "    del draw\n",
    "\n",
    "\n",
    "def open_img(name):\n",
    "    return Image.open('debug/{n}'.format(n=name))\n",
    "\n",
    "\n",
    "def get_mid_color(*colors):\n",
    "    return tuple(sum(a) / len(a) for a in zip(*colors))\n",
    "\n",
    "\n",
    "# def get_mid_point(start_point, end_point):\n",
    "#     return tuple(sum(a) / len(a) for a in zip(*(start_point, end_point)))\n",
    "\n",
    "def avg(arr):\n",
    "    if len(arr) == 0:\n",
    "        return 0\n",
    "    else:\n",
    "        return sum(arr) / len(arr)\n",
    "\n",
    "\n",
    "def get_expect_point_from_points(*points):\n",
    "    _tmp = zip(*points)\n",
    "    min_x, min_y = min(_tmp[0]), min(_tmp[1])\n",
    "    _points = filter(lambda p: p[0] == min_x or p[1] == min_y, points)\n",
    "    _tmp = zip(*_points)\n",
    "    return max(_tmp[0]), max(_tmp[1])\n",
    "\n",
    "def get_expect_point_from_points1(*points):\n",
    "    _tmp = zip(*points)\n",
    "    min_x, min_y = min(_tmp[0]), min(_tmp[1])\n",
    "    _points = filter(lambda p: p[0] == min_x or p[1] == min_y, points)\n",
    "    _tmp = zip(*_points)\n",
    "    return avg(_tmp[0]), avg(_tmp[1])\n",
    "\n",
    "\n",
    "\n",
    "def is_color_similar(base_color, check_color, deviation=0):\n",
    "    if check_color is None:\n",
    "        return False\n",
    "    r, g, b, _ = base_color\n",
    "    return r - deviation <= check_color[0] <= r + deviation and \\\n",
    "           g - deviation <= check_color[1] <= g + deviation and \\\n",
    "           b - deviation <= check_color[2] <= b + deviation\n",
    "\n",
    "        \n",
    "scan_step = 1\n",
    "ch_color = (55, 58, 103)\n",
    "\n",
    "def _find_borad(img, start):\n",
    "    # 图像的宽，高， 对于1080p的图像为（1080，1920）\n",
    "    w, h = img.size\n",
    "    # 起点的x，y坐标，要查找的图像，y必然小于起点\n",
    "    start_x, start_y = start[0], start[1]\n",
    "#     print(u'scan start:', start_x, start_y)\n",
    "    # 分数所在的y轴坐标，要查找的图像，y必然大于这个值\n",
    "    under_game_score_y = 300\n",
    "    im_pixel = img.load()\n",
    "    # 判断起点是在左半屏还是右半屏\n",
    "    mid_x = img.size[0] / 2\n",
    "    # 起点x在终点的左边，表示起点在做半屏\n",
    "    is_in_left = start_x < mid_x\n",
    "    print(\"is_in_left:\", is_in_left)\n",
    "    # 如果起点在左半屏，则扫描 start_x..img.width, under_game_socre_y..img.height 范围内的点\n",
    "    # 如果起点在右半屏，则扫描 0，start_x, under_game_socre_y..img.height 范围内的点\n",
    "    # y轴的扫描范围\n",
    "    range_y = range(under_game_score_y, start_y - scan_step, scan_step)\n",
    "    range_x = range(start_x+30, w-50) if is_in_left else range(start_x/3, start_x-30)\n",
    "#     print(max(range_x), max(range_y))\n",
    "    # 当前图片的底色(原点，终点颜色取平均)\n",
    "    base_color = get_mid_color(im_pixel[0, 0], im_pixel[1079, 1919], im_pixel[1080 / 2, 1920 / 2])\n",
    "#     print(u\"bg-color:\", base_color)\n",
    "    target_color = None\n",
    "    default_dev = 30\n",
    "    points = []\n",
    "    for y in range_y:\n",
    "        for x in range_x:\n",
    "            try:\n",
    "                # 从左到右，从上到下查找目标点：\n",
    "                point_color = im_pixel[x, y]\n",
    "                if not is_color_similar(base_color, point_color):\n",
    "                    # 找和背景色不相同\n",
    "                    # y轴上的顶点，和y-1的颜色不同，和y+1的颜色相同\n",
    "                    if not is_color_similar(point_color, im_pixel[x, y - scan_step], default_dev) and \\\n",
    "                        is_color_similar(point_color, im_pixel[x, y + scan_step], default_dev) and \\\n",
    "                        target_color is None:\n",
    "                        target_color = point_color\n",
    "                        points.append((x, y))\n",
    "                    else:\n",
    "                        \n",
    "                        if target_color is not None:\n",
    "                            if is_color_similar(point_color, ch_color, 15):\n",
    "                                im_pixel[x, y] = base_color\n",
    "                            if not is_color_similar(point_color, target_color, default_dev):\n",
    "                                im_pixel[x, y] = base_color\n",
    "                            else:\n",
    "                                im_pixel[x, y] = target_color\n",
    "                            if is_color_similar(point_color, (245,245,245), 15):\n",
    "                                im_pixel[x, y] = target_color\n",
    "\n",
    "                        # x轴上的顶点，和y-scan_step的颜色不同和y+scan_step颜色也不同\n",
    "                        if is_color_similar(point_color, target_color) and \\\n",
    "                            not is_color_similar(im_pixel[x - scan_step, y - scan_step], target_color) and \\\n",
    "                            not is_color_similar(im_pixel[x - scan_step, y + scan_step], target_color):\n",
    "                            points.append((x, y))\n",
    "                        \n",
    "            except Exception as e:\n",
    "                print target_color\n",
    "                traceback.print_exc()\n",
    "                raise e\n",
    "                print(\"exception:\", x, y)\n",
    "    \n",
    "    for p in points:\n",
    "        x, y = p\n",
    "        append_pointer_to_image(img, x, y)\n",
    "        \n",
    "    \n",
    "    found_point = get_expect_point_from_points(*points)\n",
    "    append_pointer_to_image(img, found_point[0], found_point[1], color=(255, 0, 210))\n",
    "    \n",
    "    return img\n",
    "\n",
    "def anly_img(name, start):\n",
    "    return _find_borad(open_img(name), start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('is_in_left:', False)\n"
     ]
    },
    {
     "data": {
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HH7pZV164VAfvv03uOqeuuW1/PfXyUP32L+N1+3VfRlz/KbNm6M0P+6l3Sb2u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\nmbU4JeuIh5Xtc+ihC/XvP21PaPuk8vVdtylPdzw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9JXh+O9wwUAAAAAYIkj4FjmymBjRtb1CAAAAADAChOGPQDMX1/hBnCc3vXf9w57CAAAAAAwKyo4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\nmXBsI+HYf544ucogcfSLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1080x1920 at 0x1071480D0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anly_img('1514768093_d.png', (825, 1141))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "540"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1080/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
